scholarly journals Parallel processing optimization strategy based on MapReduce model in cloud storage environment

2017 ◽  
Author(s):  
Jianming Cui ◽  
Jiayi Liu ◽  
Qiuyan Li
Keyword(s):  
Parallel Processing ◽  
Cloud Storage ◽  
Optimization Strategy ◽  
Mapreduce Model ◽  
Cloud Storage Environment ◽  
Processing Optimization

scholarly journals Distributed data hiding in multi-cloud storage environment

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Leonel Moyou Metcheka ◽  
René Ndoundam
Keyword(s):  
Cloud Storage ◽  
Network Protocols ◽  
Secret Message ◽  
Covert Channel ◽  
Distributed Data ◽  
Comparison Results ◽  
Major Interest ◽  
Cloud Storage Environment ◽  
Audio Video ◽  
Multi Cloud

AbstractClassical or traditional steganography aims at hiding a secret in cover media such as text, image, audio, video or even in network protocols. Recent research has improved this approach called distributed steganography by fragmenting the secret message and embedding each secret piece into a distinct cover media. The major interest of this approach is to make the secret message detection extremely difficult. However, these file modifications leave fingerprints which can reveal a secret channel to an attacker. Our contribution is a new steganography paradigm transparent to any attacker and resistant to the detection and the secret extraction. Two properties contribute to achieve these goals: the files do not undergo any modification while the distribution of the secret in the multi-cloud storage environment allows us to hide the existence of the covert channel between the communicating parties. Information’s are usually hidden inside the cover media. In this work, the covert media is a pointer to information. Therefore the file carries the information without being modified and the only way to access it is to have the key. Experiments show interesting comparison results with remarkable security contributions. The work can be seen as a new open direction for further research in the field.

A QoS-aware Model for Cloud Storage Environment

2013 ◽  
Vol 5 (7) ◽  
pp. 327-335 ◽  
Author(s):  
Zhaobin Liu ◽  
Wenyu Qu ◽  
Weijiang Liu ◽  
Yunfan Li
Keyword(s):  
Cloud Storage ◽  
Cloud Storage Environment

scholarly journals A Keyword-Searchable ABE Scheme From Lattice in Cloud Storage Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 109038-109053 ◽  
Author(s):  
Lihua Liu ◽  
Shangping Wang ◽  
Bintao He ◽  
Duo Zhang
Keyword(s):  
Cloud Storage ◽  
Cloud Storage Environment

scholarly journals Group Delegated ID-Based Proxy Reencryption for the Enterprise IoT-Cloud Storage Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Won-Bin Kim ◽  
Daehee Seo ◽  
Donghyun Kim ◽  
Im-Yeong Lee
Keyword(s):  
Cloud Storage ◽  
Data Transfer ◽  
Public Key ◽  
Security Threats ◽  
Cloud Environment ◽  
Process Data ◽  
Data Owner ◽  
Iot Devices ◽  
Cloud Storage Environment ◽  
Problem Data

In general, ID-based proxy reencryption (IBPRE) includes data transfer in a 1 : 1 manner between a sender and receiver. Therefore, only the data owner has the authority to decrypt or reencrypt the data that is encrypted with his/her public key. However, in an environment with data self-sovereignty, such as an enterprise IoT-cloud environment, the data are directly managed by cloud once data is uploaded from user-controlled IoT devices. In such a situation, there is no way of sharing data if the data owner has no access over the data due to being outside the workplace and other issues. In this study, to solve this problem, data can be shared even when the data cannot be accessed by delegating the authority of the data owner to generate the reencryption key to other users. In addition, by solving the security threats that may appear in this process, data sharing can be performed securely and efficiently in the corporate environment.

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